Ye, Zi

Introduction: The survival impact of impaired multi-chamber longitudinal strain in significant tricuspid aortic valve stenosis(TAV-AS) and its relation to cardiac damage staging(CDS) is unknown. Hypothesis: Impaired strain improves prognostication of CDS in significant TAV-AS. Methods: We performed 2D-semi-automated strain analysis in a retrospective cohort of consecutive patients with TAV-AS with mean pressure gradient≥30mmHg on echocardiogram. The outcome was all-cause death. Cutoffs of impaired left-ventricular global longitudinal strain(

Background: Atherosclerotic cardiovascular disease (ASCVD) often affects > 1 arterial location (polyvascular disease, PVD). The risk of adverse outcomes increases with the number of arterial territories involved. The genetic susceptibility to PVD is unknown. Hypothesis: We hypothesized that a genetic risk score representing cumulative effects of susceptibility variants to ASCVD is associated with presence of PVD. Methods: We searched genome-wide association study (GWAS) catalog to identify genetic variants associated with coronary heart disease (CHD), ischemic stroke, peripheral arterial disease (PAD) or abdominal aortic aneurysm (AAA). No variants were reported to be associated with PVD in ≥ 3 arterial territories at GWAS significance. 10 loci were associated with PVD in 2 arterial territories. We calculated a multi-locus GRS using 10 lead single nuclear polymorphisms (SNP) from these distinct loci (1 per each loci) in 7486 participants in Mayo Vascular Disease Biorepository (age 68±10 years, 61% men, 31% with CHD; 27% carotid artery stenosis; 39% PAD; 14% AAA; 38% without any of these vascular diseases). Results: Of all participants 34% had PVD (2%, 10% and 22% with exact 4, 3 and 2 arterial territories involved respectively). A higher GRS was associated with greater number of arterial territories involved (P for trend of ANOVA <0.001). Patients with PVD in ≥ 3 arterial locations had higher GRS compared to those with 2 arterial locations involved after adjustment for age, sex and cardiovascular risk factors (P =0.008). One unit increase in GRS was associated with 9% higher likelihood for each additional arterial territory involved after adjustment for all covariates (odds ratio from ordinal regression model= 1.09, P <0.001). The result remained significant after further adjustment for combinations of AAA, CHD, carotid arterial stenosis and PAD (all P ≤ 0.01). 5 Of the 10 SNPs were each associated with presence of PVD after adjustment for all covariates (all P <0.01). None of them remained significant after further adjustment for combinations of PVD in different arterial territories (all P ≥ 0.4). Conclusions: A GRS derived from 10 SNPs of ASCVD is associated with PVD,suggesting genetic contribution to the dimension of PVD that may lead to adverse outcome.

Fibromuscular dysplasia (FMD) is a nonatherosclerotic vascular disease leading to arterial stenosis, aneurysm and dissection, mainly in renal and carotid arteries. FMD has higher prevalence in females (80-90%) and is associated with hypertension and stroke. The pathophysiology of FMD is unclear and a genetic origin is suspected. We performed a genetic association study in European ancestry individuals. The discovery included 249 cases and 689 controls, in which we analyzed ∼26K common variants (MAF>0.05) using an exome-chip array. We followed up 13 loci (P<10-4) in 393 cases and 2537 controls and replicated a signal on Chr6. Three additional studies (combined Ncases=512, Ncontrols=669) confirmed this association, with an overall OR of 1.39, (P=7.4х10e-10 , All Ncases=1154, All Ncontrols=3895). The FMD risk variant is intronic to the phosphatase and actin regulator 1 gene (PHACTR1), involved in angiogenesis and cell migration. PHACTR1 is a risk locus for coronary artery disease, migraine, and cervical artery dissection, which may occur in FMD. We found a significant association between the risk allele and higher central pulse pressure (P=0.0009), increased intima media thickness (P=0.001) and wall cross-sectional area (P=0.003) of carotids assessed by echotracking in 3800 population-based individuals. The correlation of genotypes with the expression of PHACTR1 in primary cultured human fibroblasts showed higher expression in FMD risk allele carriers, compared to non carriers (N=57, P=0.02). Finally, Phactr1 knockdown of zebrafish showed significantly dilated vessels (P=0.003) indicating impaired vascular development. In conclusion, we report the first risk locus for FMD with the largest genetic association study conducted so far. Our data reveal a common genetic variant at PHACTR1 providing indices of shared pathophysiology between FMD and other cardiovascular and neurovascular diseases.

Background: Genome-wide association studies (GWAS) have identified several common variants associated with abdominal aortic aneurysm (AAA). We investigated whether a multi-locus genetic risk score (GRS) for AAA was associated with presence and progression of AAA in a case-control study. Methods: The study comprised of 1098 patients with AAA (74±8 years, 83% men) and 6538 controls (67±10 years, 58% men) enrolled in the Mayo Vascular Disease Biorepository. AAA was defined as a transverse diameter of abdominal aorta ≥ 3.0 cm or history of AAA repair. Controls were participants without known AAA. We found five single nucleotide polymorphisms (SNPs) previously shown to be associated with AAA at GWAS significance (P≤10^-8) in NHGRI GWAS catalog and PubMed. A GRS for AAA for each individual was calculated from four SNPs (rs2383107, rs7025486, rs599839, rs1466535) that were replicated in our cohort, by summing the number of risk alleles for each SNP weighted by their estimated effect sizes in GWAS catalog or published largest meta-analysis. Results: GRS was associated with presence of AAA: odds ratio (OR) (95% confidence interval): 1.06 (1.03-1.08). The association remained significant after adjustment for age, sex, cardiovascular risk factors, and atherosclerotic cardiovascular diseases: adjusted OR: 1.05 (1.03-1.08). Further adjustment for each SNP did not attenuate association of GRS with presence of AAA (All P<0.001). GRS was not associated with family history of aortic aneurysm (P=0.4). Adding GRS to conventional risk factors improved net reclassification index by 16% (P<0.001).In a subset of patients with AAA who had sequential imaging studies (n=628), GRS was associated with AAA growth rate ≥ 1.75 mm/year (median of the cohort) after adjustment for baseline AAA size: adjusted OR: 1.07 (1.00-1.14). No conventional risk factors were associated with AAA growth. Patients with GRS > 5.24 (median of the cohort) had 1.31 times higher odds of having AAA and 1.64 times higher odds of having AAA growth rate ≥1.75 mm/year compared to those with GRS ≤ 5.24 (both P≤0.005). Conclusions: A multi-locus GRS was associated with presence of AAA and aneurysm growth, suggesting genetic predisposition to disease initiation and progression.

Background: Abdominal aortic aneurysm (AAA) is a complex and heterogeneous disorder. We hypothesized that dense phenomapping using electronic health records (EHR) can identify subtypes of AAA with distinct clinical and genetic characteristics. Methods & Results: AAA cases (n=1108) and controls (n=4694) were identified from the Mayo vascular disease biorepository and had available high-density genotyping data. 132 Candidate genetic variants (p < 10E-5) associated with atherosclerotic cardiovascular disease (ASCVD) or AAA were selected from GWAS catalog. Using model-based Gaussian-mixture cluster analysis of 46 clinical features from 6 data domains, 24 data elements, 204 variables (including age, sex, vital signs, laboratory data, medication use, family history), spanning over 20 years of observational time in the EHR, we identified two subtypes of AAA: subtype 1(S1, n=421) with faster AAA growth rate (baseline size adjusted mean difference, 95% CI: 0.013, 0.001 to 0.020 cm / year faster, p = 0.03), higher all-cause mortality (age & sex adjusted hazard ratio, 95% CI: 1.36, 1.09 - 1.70, p < 0.01) than subtype 2 (S2, n=687). As compared with the controls, thyroid disorder / rheumatoid or osteoarthritis / infectious conditions were uniquely associated with increased odds ratio for S1; ASCVD / hyperlipidemia / hypertension were uniquely associated with increased odds ratio for S2. After adjustment for all group-specific diseases, genetic variants in CDKN2B-AS1, NOA1-REST, ERG, ZNF335-MMP9 and SMAD3 were associated with S1 and variants in MMP12, DAB2IP, LHFPL2, LPA, FSTL5 and SORT1 were associated with S2 (all FDR p < 0.05). After adjustment for disease comorbidities and genetic variants differently associated with S1 and S2, the increased risk for all-cause death of S1 than S2 and the difference in AAA expansion rate in subgroups attenuated (Both p-values > 0.09) Conclusions: We identified two subtypes of AAA with different rates of aneurysm expansion and all-cause mortality, which were associated with subtype-specific disease comorbidities and genetic markers, suggesting the potential of leveraging EHR to facilitate individualized medicine in patients with AAA.

Introduction: Patients with heart failure with preserved ejection fraction (HFpEF) may have elevated left ventricular filling pressure with exercise (LVFP-ex), despite normal LVFP at rest. We aimed to assess the diagnostic value of resting left atrial strain (LAS) in detecting elevated LVFP-ex in dyspneic patients evaluated by exercise stress echocardiography. Methods: We performed 2D-speckle tracking analysis for LAS in 669 consecutive patients (mean age 64 ± 14, men 53%) who underwent treadmill echocardiography evaluation and had LV ejection fraction ≥50%. Assessment of LVFP at rest was based on the 2016 ASE Guidelines for diastolic function assessment. We used the 2019 ESC HFA-PEEF diagnostic algorithm to define elevated LVFP-ex (early mitral inflow wave/septal early diastolic tissue velocity (E/e’) ≥ 15 after exercise) and calculate a continuous HFA-PEEF score. Results: LAS reservoir was lowest in patients with elevated LVFP at rest (n=81) and lower in those with normal resting FP who developed elevated LVFP-ex (n=108) compared to those who maintained normal LVFP-ex (29.0 ± 5.2% vs. 33.1 ± 5.0% vs.39.3 ± 4.8%, p < 0.001). In patients with normal or indeterminate LVFP at rest (n=587), LAS reservoir and pre-exercise HFA-PEEF score demonstrated an area-under-the-curve (AUC) of 0.82 and 0.7 respectively for elevated LVFP-ex. There was a 28% higher odds of developing elevated LVFP-ex per 1% decrease in LAS reservoir (odds ratio, 95%CI: 0.78, 0.74 - 0.82). In patients with the intermediate score (n=461), 123 patients developed elevation in LVFP with exercise and were classified as having HFpEF per the diagnostic algorithm. Addition of LAS reservoir improved the predictive value of HFA-PEEF score for HFpEF (AUC increased from 0.71 to 0.80, p for ΔAUC =0.01). Conclusions: LAS reservoir has a potential to identify patients at intermediate-risk for HFpEF who may develop elevated LVFP with exercise only, and therefore a promising parameter to aid in the diagnosis of HFpEF when exercise testing is not feasible.

The cardio-ankle vascular index (CAVI) is a measure of global arterial stiffness. We hypothesized that CAVI is associated with left ventricular (LV) function and geometry in individuals without structural heart disease. We measured CAVI in 600 participants (mean age 60.3±14.6 years, 54% men) without history of atherosclerotic cardiovascular disease who were referred for transthoracic echocardiography. Linear regression analysis was used to assess the association of CAVI with LV function (peak mitral annular systolic s’ and early diastolic velocity e’) and structure (LV mass index (LVMI) and relative wall thickness (RWT)). Older age, male sex, lower body mass index, history of hypertension, diabetes and chronic kidney disease were each associated with a higher CAVI (adjusted R 2 = 0.56, all p < 0.01). A higher CAVI was associated with lower s’ and e’, and greater RWT, independent of age, sex, systolic BP and other conventional cardiovascular risk factors (all p < 0.05); a borderline association of higher CAVI with greater LVMI ( p = 0.05) was present. Associations with e’, s’ and RWT were similar in women and men but the association with LVMI was stronger in women than in men ( p for interaction = 0.02, multivariable-adjusted β = 6.92, p < 0.001 in women; p > 0.1 in men). In conclusion, a higher CAVI, a measure of global arterial stiffness, is associated with worse LV systolic function, worse diastolic relaxation, and greater LV RWT in both men and women, and with LVMI in women.

We investigated whether family history (FHx) of atherosclerotic cardiovascular disease (ASCVD) was associated with presence of abdominal aortic aneurysm (AAA). The study cohort comprised of 696 patients with AAA (70±8 years, 84% men) and 2686 controls (68±10 years, 61% men) recruited from noninvasive vascular and stress electrocardiogram (ECG) laboratories at Mayo Clinic. AAA was defined as a transverse diameter of abdominal aorta ⩾ 3 cm or history of AAA repair. Controls were not known to have AAA. FHx was defined as having at least one first-degree relative with aortic aneurysm or with onset of ASCVD (coronary, cerebral or peripheral artery disease) before age 65 years. FHx of aortic aneurysm or ASCVD were each associated with presence of AAA after adjustment for age, sex, conventional risk factors and ASCVD: adjusted odds ratios (OR; 95% confidence interval): 2.17 (1.66–2.83, p < 0.01) and 1.31 (1.08–1.59, p < 0.01), respectively. FHx of ASCVD remained associated with AAA after additional adjustment for FHx of aortic aneurysm: adjusted OR: 1.27 (1.05–1.55, p = 0.01). FHx of ASCVD in multiple arterial locations was associated with higher odds of having AAA: the adjusted odds were 1.23 times higher for each additionally affected arterial location reported in the FHx (1.08–1.40, p = 0.01). Our results suggest both unique and shared environmental and genetic factors mediating susceptibility to AAA and ASCVD.